Google Senior Staff Software Engineer, General Purpose Compute

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Job Details

Posted date: Jul 02, 2025

Location: Seattle, WA

Level: Director

Estimated salary: $298,500
Range: $248,000 - $349,000


Description

Lead the development and execution of the Google Compute Engine (GCE) Dynamic Resource Management roadmap. Collaborate with Product Management to define and prioritize roadmap features. Partner with Product Engineering teams to ensure successful implementation. Analyze performance metrics and identify opportunities for optimization. Provide technical leadership and mentorship to other engineers.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Google Compute Engine (GCE) Node Team is responsible, among other things, for delivering General Purpose Compute Virtual Machines. (C-series, N-series, and E-series), and driving core technology investments necessary to do so.

GCE is looking for a Senior Staff Software Engineer to drive the Dynamic Resource Management technology roadmap in support of our N-series and E-series GCE Virtual Machines (VMs). This area is core to our mission with clear opportunities to deliver business impact while continuing to develop and improve a novel Google technology . Dynamic Resource Management is a technological differentiator that enables GCE to provide highly efficient compute for a large swath of workloads.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Qualifications

Minimum qualifications: Bachelor's degree in Computer Science or a related technical field or equivalent practical experience. 8 years of experience in software development. Experience with compute systems internals like CPU and Memory architectures. Experience with Virtualization.

Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction. Experience with Linux Kernel Internals. Experience with Linux Memory Management. Experience with Data Analysis and C++ programming language.

Extended Qualifications

Bachelor's degree in Computer Science or a related technical field or equivalent practical experience. 8 years of experience in software development. Experience with compute systems internals like CPU and Memory architectures. Experience with Virtualization.

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